Spotlight on Dr. Gawon Yun’s 2024 Research Contributions in Logistics and Supply Chain Management

Dr. Gawon Yun, an Assistant Professor of Logistics and Supply Chain Management at the Marketing Department of Missouri State University, has had a prolific 2024 with the publication of four peer-reviewed journal articles. Her diverse body of work underscores her expertise in economic, environmental, and social sustainability within operations and supply chain contexts. Dr. Yun’s contributions this year reflect innovative perspectives and impactful insights into emerging issues and opportunities in the field. Here is a closer look at her recent publications:

1. Understanding Military Pilots’ Fuel-Saving Intentions for Supporting Logistics Missions

Gaitan, I., Yun, G., Joo, H., & Hwang, S. (2024). Understanding military pilots’ fuel-saving intentions for supporting logistics missions. Journal of Air Transport Management, 121, 102689.

Published in the Journal of Air Transport Management, this study applies the Theory of Planned Behaviors (TPB) to explore the factors influencing military pilots’ intentions to save fuel during logistics missions. Dr. Yun and her co-authors discovered that subjective norms and perceived behavioral control positively correlate with pilots’ fuel-saving intentions. Furthermore, pilots’ pride in performance enhances their attitudes toward fuel-saving. Interestingly, the study found no significant difference between the fuel-saving intentions of pilots from the United States Air Force (USAF) and the Republic of Korea Air Force (ROKAF), revealing the universal applicability of these motivational drivers.

Read the full paper here.

2. Empowering Student Learning through Artificial Intelligence: A Bibliometric Analysis

Yun, G., Lee, K.M., & Choi, H.H. (2024). Empowering Student Learning through Artificial Intelligence: A Bibliometric Analysis. Journal of Educational Computing Research, 0(0), 1-34.

Published in the Journal of Educational Computing Research, this study delves into the rapidly growing intersection of artificial intelligence (AI) and student learning. Using a bibliometric approach, Dr. Yun and her colleagues analyzed 663 scholarly articles spanning from 1961 to 2024. They identified four thematic areas within AI and education: AI-driven learning environments, essential AI enablers, human learning, and educational technology. The study highlights both the promise and challenges AI presents in education, emphasizing the critical need for deeper research into AI’s transformative impact on student learning processes.

Read the full paper here.

3. Delivery Riders’ Safety and Delivery Efficiency in the On-Demand Food Delivery Industry

Yu, D., Zhang, J., & Yun, G. (2024). Delivery riders’ safety and delivery efficiency in on-demand food delivery industry: The moderating role of monitoring algorithms. Research in Transportation Business & Management, 55, 101143.

In this paper, featured in Research in Transportation Business & Management, Dr. Yun collaborated with colleagues to explore the safety and efficiency of on-demand food delivery (ODFD) riders. Using conservation of resources (COR) theory and structural equation modeling, the study examined how riders’ well-being affects risky driving behaviors and delivery efficiency. The findings reveal that stress plays a mediating role, while different types of monitoring—interactional and observational—impact the relationship between stress, risky driving, and efficiency. The research offers valuable insights for ODFD companies to enhance rider safety and efficiency through targeted monitoring strategies.

Read the full paper here.

4. Digital Twinning for Resilient Global Supply Chains: Three Case Studies

Yun, G., Hales, D.N., & Hong, L. (2024). Digital Twinning for Resilient Global Supply Chains: Three Case Studies. Markets, Globalization & Development Review, 9(1), 4.

Published in Markets, Globalization & Development Review, this study investigates the role of Digital Twin (DT) technology in enhancing global supply chain resilience during crises such as pandemics or conflicts. By analyzing three companies across different industries, Dr. Yun and her co-authors demonstrated how DT can offer early alerts and timely interventions to bolster supply chain performance. Despite the success in improving key performance indicators, the study highlights the considerable costs and time investments required, posing challenges to wider DT adoption. The findings provide a balanced view of the benefits and limitations of implementing Digital Twins in supply chains.

Read the full paper here.

About Dr. Gawon Yun

Dr. Yun earned her Ph.D. with an emphasis on Supply Chain Management from the University of Rhode Island. Her research centers on economic, environmental, and social sustainability in operations and supply chain management. Dr. Yun’s work has appeared in leading journals such as the International Journal of Logistics Management, Transportation Journal, and Benchmarking: An International Journal.

Congratulations to Dr. Gawon Yun for her amazing contributions and for driving forward the research frontiers in logistics, supply chain management, and beyond!

To explore more of Dr. Yun’s research, visit her Google Scholar profile.

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